Dataset statistics
| Number of variables | 18 |
|---|---|
| Number of observations | 1000 |
| Missing cells | 253 |
| Missing cells (%) | 1.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 140.8 KiB |
| Average record size in memory | 144.1 B |
Variable types
| Numeric | 11 |
|---|---|
| Text | 1 |
| Categorical | 6 |
LastName has 22 (2.2%) missing values | Missing |
Location has 15 (1.5%) missing values | Missing |
Gender has 14 (1.4%) missing values | Missing |
Age has 24 (2.4%) missing values | Missing |
LoyaltyYears has 23 (2.3%) missing values | Missing |
AccountBalance has 27 (2.7%) missing values | Missing |
ProductCount has 11 (1.1%) missing values | Missing |
HasCreditCard has 18 (1.8%) missing values | Missing |
IncomeEstimate has 14 (1.4%) missing values | Missing |
HasComplaint has 20 (2.0%) missing values | Missing |
CardType has 13 (1.3%) missing values | Missing |
CreditCardPoints has 22 (2.2%) missing values | Missing |
RecordNumber is uniformly distributed | Uniform |
CustomerId is uniformly distributed | Uniform |
RecordNumber has unique values | Unique |
CustomerId has unique values | Unique |
AnnualSpending has unique values | Unique |
RiskScore has 16 (1.6%) zeros | Zeros |
LoyaltyYears has 45 (4.5%) zeros | Zeros |
ComplaintSatisfaction has 118 (11.8%) zeros | Zeros |
Reproduction
| Analysis started | 2024-06-30 10:49:01.281082 |
|---|---|
| Analysis finished | 2024-06-30 10:49:07.754623 |
| Duration | 6.47 seconds |
| Software version | ydata-profiling v4.8.3 |
| Download configuration | config.json |
RecordNumber
Real number (ℝ)
UNIFORM UNIQUE
| Distinct | 1000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 500.5 |
| Minimum | 1 |
|---|---|
| Maximum | 1000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 50.95 |
| Q1 | 250.75 |
| median | 500.5 |
| Q3 | 750.25 |
| 95-th percentile | 950.05 |
| Maximum | 1000 |
| Range | 999 |
| Interquartile range (IQR) | 499.5 |
Descriptive statistics
| Standard deviation | 288.81944 |
|---|---|
| Coefficient of variation (CV) | 0.57706181 |
| Kurtosis | -1.2 |
| Mean | 500.5 |
| Median Absolute Deviation (MAD) | 250 |
| Skewness | 0 |
| Sum | 500500 |
| Variance | 83416.667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.1% |
| 672 | 1 | 0.1% |
| 659 | 1 | 0.1% |
| 660 | 1 | 0.1% |
| 661 | 1 | 0.1% |
| 662 | 1 | 0.1% |
| 663 | 1 | 0.1% |
| 664 | 1 | 0.1% |
| 665 | 1 | 0.1% |
| 666 | 1 | 0.1% |
| Other values (990) | 990 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1000 | 1 | |
| 999 | 1 | |
| 998 | 1 | |
| 997 | 1 | |
| 996 | 1 | |
| 995 | 1 | |
| 994 | 1 | |
| 993 | 1 | |
| 992 | 1 | |
| 991 | 1 |
CustomerId
Real number (ℝ)
UNIFORM UNIQUE
| Distinct | 1000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1499.5 |
| Minimum | 1000 |
|---|---|
| Maximum | 1999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1000 |
|---|---|
| 5-th percentile | 1049.95 |
| Q1 | 1249.75 |
| median | 1499.5 |
| Q3 | 1749.25 |
| 95-th percentile | 1949.05 |
| Maximum | 1999 |
| Range | 999 |
| Interquartile range (IQR) | 499.5 |
Descriptive statistics
| Standard deviation | 288.81944 |
|---|---|
| Coefficient of variation (CV) | 0.19261049 |
| Kurtosis | -1.2 |
| Mean | 1499.5 |
| Median Absolute Deviation (MAD) | 250 |
| Skewness | 0 |
| Sum | 1499500 |
| Variance | 83416.667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1000 | 1 | 0.1% |
| 1671 | 1 | 0.1% |
| 1658 | 1 | 0.1% |
| 1659 | 1 | 0.1% |
| 1660 | 1 | 0.1% |
| 1661 | 1 | 0.1% |
| 1662 | 1 | 0.1% |
| 1663 | 1 | 0.1% |
| 1664 | 1 | 0.1% |
| 1665 | 1 | 0.1% |
| Other values (990) | 990 |
| Value | Count | Frequency (%) |
| 1000 | 1 | |
| 1001 | 1 | |
| 1002 | 1 | |
| 1003 | 1 | |
| 1004 | 1 | |
| 1005 | 1 | |
| 1006 | 1 | |
| 1007 | 1 | |
| 1008 | 1 | |
| 1009 | 1 |
| Value | Count | Frequency (%) |
| 1999 | 1 | |
| 1998 | 1 | |
| 1997 | 1 | |
| 1996 | 1 | |
| 1995 | 1 | |
| 1994 | 1 | |
| 1993 | 1 | |
| 1992 | 1 | |
| 1991 | 1 | |
| 1990 | 1 |
LastName
Text
MISSING
| Distinct | 479 |
|---|---|
| Distinct (%) | 49.0% |
| Missing | 22 |
| Missing (%) | 2.2% |
| Memory size | 7.9 KiB |
Length
| Max length | 10 |
|---|---|
| Median length | 8 |
| Mean length | 6.1237219 |
| Min length | 2 |
Characters and Unicode
| Total characters | 5989 |
|---|---|
| Distinct characters | 49 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 268 ? |
|---|---|
| Unique (%) | 27.4% |
Sample
| 1st row | Jennings |
|---|---|
| 2nd row | Gallagher |
| 3rd row | Pham |
| 4th row | Henderson |
| 5th row | Lambert |
| Value | Count | Frequency (%) |
| smith | 23 | 2.4% |
| johnson | 18 | 1.8% |
| anderson | 12 | 1.2% |
| jones | 10 | 1.0% |
| rodriguez | 10 | 1.0% |
| gonzalez | 10 | 1.0% |
| williams | 10 | 1.0% |
| brown | 10 | 1.0% |
| miller | 10 | 1.0% |
| lee | 9 | 0.9% |
| Other values (469) | 856 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 584 | 9.8% |
| n | 523 | 8.7% |
| o | 508 | 8.5% |
| r | 498 | 8.3% |
| a | 461 | 7.7% |
| s | 354 | 5.9% |
| l | 335 | 5.6% |
| i | 332 | 5.5% |
| t | 211 | 3.5% |
| d | 160 | 2.7% |
| Other values (39) | 2023 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5989 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 584 | 9.8% |
| n | 523 | 8.7% |
| o | 508 | 8.5% |
| r | 498 | 8.3% |
| a | 461 | 7.7% |
| s | 354 | 5.9% |
| l | 335 | 5.6% |
| i | 332 | 5.5% |
| t | 211 | 3.5% |
| d | 160 | 2.7% |
| Other values (39) | 2023 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5989 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 584 | 9.8% |
| n | 523 | 8.7% |
| o | 508 | 8.5% |
| r | 498 | 8.3% |
| a | 461 | 7.7% |
| s | 354 | 5.9% |
| l | 335 | 5.6% |
| i | 332 | 5.5% |
| t | 211 | 3.5% |
| d | 160 | 2.7% |
| Other values (39) | 2023 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5989 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 584 | 9.8% |
| n | 523 | 8.7% |
| o | 508 | 8.5% |
| r | 498 | 8.3% |
| a | 461 | 7.7% |
| s | 354 | 5.9% |
| l | 335 | 5.6% |
| i | 332 | 5.5% |
| t | 211 | 3.5% |
| d | 160 | 2.7% |
| Other values (39) | 2023 |
RiskScore
Real number (ℝ)
ZEROS
| Distinct | 101 |
|---|---|
| Distinct (%) | 10.2% |
| Missing | 10 |
| Missing (%) | 1.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.782828 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 16 |
| Zeros (%) | 1.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 23 |
| median | 50 |
| Q3 | 75 |
| 95-th percentile | 96 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 52 |
Descriptive statistics
| Standard deviation | 29.916708 |
|---|---|
| Coefficient of variation (CV) | 0.60094432 |
| Kurtosis | -1.2073991 |
| Mean | 49.782828 |
| Median Absolute Deviation (MAD) | 26 |
| Skewness | 0.026746746 |
| Sum | 49285 |
| Variance | 895.00941 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 61 | 19 | 1.9% |
| 89 | 19 | 1.9% |
| 32 | 18 | 1.8% |
| 98 | 17 | 1.7% |
| 91 | 16 | 1.6% |
| 100 | 16 | 1.6% |
| 0 | 16 | 1.6% |
| 57 | 15 | 1.5% |
| 18 | 14 | 1.4% |
| 23 | 14 | 1.4% |
| Other values (91) | 826 |
| Value | Count | Frequency (%) |
| 0 | 16 | |
| 1 | 13 | |
| 2 | 12 | |
| 3 | 11 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 5 | 0.5% |
| Value | Count | Frequency (%) |
| 100 | 16 | |
| 99 | 8 | |
| 98 | 17 | |
| 97 | 7 | |
| 96 | 9 | |
| 95 | 13 | |
| 94 | 10 | |
| 93 | 7 | |
| 92 | 11 | |
| 91 | 16 |
Location
Categorical
MISSING
| Distinct | 20 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 15 |
| Missing (%) | 1.5% |
| Memory size | 7.9 KiB |
| Charlotte | 60 |
|---|---|
| San Diego | 58 |
| Phoenix | 58 |
| Indianapolis | 58 |
| Los Angeles | 55 |
| Other values (15) |
Length
| Max length | 13 |
|---|---|
| Median length | 11 |
| Mean length | 8.9076142 |
| Min length | 6 |
Characters and Unicode
| Total characters | 8774 |
|---|---|
| Distinct characters | 35 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Indianapolis |
|---|---|
| 2nd row | San Antonio |
| 3rd row | Jacksonville |
| 4th row | Indianapolis |
| 5th row | Fort Worth |
Common Values
| Value | Count | Frequency (%) |
| Charlotte | 60 | 6.0% |
| San Diego | 58 | 5.8% |
| Phoenix | 58 | 5.8% |
| Indianapolis | 58 | 5.8% |
| Los Angeles | 55 | 5.5% |
| Philadelphia | 53 | 5.3% |
| Jacksonville | 52 | 5.2% |
| Fort Worth | 50 | 5.0% |
| Austin | 50 | 5.0% |
| Chicago | 49 | 4.9% |
| Other values (10) | 442 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| san | 169 | 12.9% |
| charlotte | 60 | 4.6% |
| diego | 58 | 4.4% |
| phoenix | 58 | 4.4% |
| indianapolis | 58 | 4.4% |
| los | 55 | 4.2% |
| angeles | 55 | 4.2% |
| philadelphia | 53 | 4.1% |
| jacksonville | 52 | 4.0% |
| fort | 50 | 3.8% |
| Other values (14) | 640 |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 878 | 10.0% |
| n | 801 | 9.1% |
| a | 765 | 8.7% |
| e | 676 | 7.7% |
| i | 605 | 6.9% |
| l | 569 | 6.5% |
| s | 524 | 6.0% |
| t | 503 | 5.7% |
| h | 372 | 4.2% |
| 323 | 3.7% | |
| Other values (25) | 2758 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 8774 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| o | 878 | 10.0% |
| n | 801 | 9.1% |
| a | 765 | 8.7% |
| e | 676 | 7.7% |
| i | 605 | 6.9% |
| l | 569 | 6.5% |
| s | 524 | 6.0% |
| t | 503 | 5.7% |
| h | 372 | 4.2% |
| 323 | 3.7% | |
| Other values (25) | 2758 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 8774 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| o | 878 | 10.0% |
| n | 801 | 9.1% |
| a | 765 | 8.7% |
| e | 676 | 7.7% |
| i | 605 | 6.9% |
| l | 569 | 6.5% |
| s | 524 | 6.0% |
| t | 503 | 5.7% |
| h | 372 | 4.2% |
| 323 | 3.7% | |
| Other values (25) | 2758 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 8774 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| o | 878 | 10.0% |
| n | 801 | 9.1% |
| a | 765 | 8.7% |
| e | 676 | 7.7% |
| i | 605 | 6.9% |
| l | 569 | 6.5% |
| s | 524 | 6.0% |
| t | 503 | 5.7% |
| h | 372 | 4.2% |
| 323 | 3.7% | |
| Other values (25) | 2758 |
Gender
Categorical
MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 14 |
| Missing (%) | 1.4% |
| Memory size | 7.9 KiB |
| Female | |
|---|---|
| Male |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.040568 |
| Min length | 4 |
Characters and Unicode
| Total characters | 4970 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Female |
|---|---|
| 2nd row | Female |
| 3rd row | Female |
| 4th row | Female |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Female | 513 | |
| Male | 473 | |
| (Missing) | 14 | 1.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| female | 513 | |
| male | 473 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1499 | |
| a | 986 | |
| l | 986 | |
| F | 513 | 10.3% |
| m | 513 | 10.3% |
| M | 473 | 9.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 4970 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 1499 | |
| a | 986 | |
| l | 986 | |
| F | 513 | 10.3% |
| m | 513 | 10.3% |
| M | 473 | 9.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 4970 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 1499 | |
| a | 986 | |
| l | 986 | |
| F | 513 | 10.3% |
| m | 513 | 10.3% |
| M | 473 | 9.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 4970 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 1499 | |
| a | 986 | |
| l | 986 | |
| F | 513 | 10.3% |
| m | 513 | 10.3% |
| M | 473 | 9.5% |
Age
Real number (ℝ)
MISSING
| Distinct | 53 |
|---|---|
| Distinct (%) | 5.4% |
| Missing | 24 |
| Missing (%) | 2.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 44.705943 |
| Minimum | 18 |
|---|---|
| Maximum | 70 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 32 |
| median | 45 |
| Q3 | 58 |
| 95-th percentile | 68 |
| Maximum | 70 |
| Range | 52 |
| Interquartile range (IQR) | 26 |
Descriptive statistics
| Standard deviation | 15.308138 |
|---|---|
| Coefficient of variation (CV) | 0.34241841 |
| Kurtosis | -1.2027176 |
| Mean | 44.705943 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.06299281 |
| Sum | 43633 |
| Variance | 234.33908 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 45 | 28 | 2.8% |
| 66 | 28 | 2.8% |
| 38 | 27 | 2.7% |
| 62 | 26 | 2.6% |
| 52 | 26 | 2.6% |
| 64 | 24 | 2.4% |
| 68 | 24 | 2.4% |
| 21 | 23 | 2.3% |
| 36 | 23 | 2.3% |
| 58 | 22 | 2.2% |
| Other values (43) | 725 | |
| (Missing) | 24 | 2.4% |
| Value | Count | Frequency (%) |
| 18 | 17 | |
| 19 | 14 | |
| 20 | 19 | |
| 21 | 23 | |
| 22 | 17 | |
| 23 | 19 | |
| 24 | 12 | |
| 25 | 20 | |
| 26 | 19 | |
| 27 | 11 |
| Value | Count | Frequency (%) |
| 70 | 18 | |
| 69 | 15 | |
| 68 | 24 | |
| 67 | 13 | |
| 66 | 28 | |
| 65 | 18 | |
| 64 | 24 | |
| 63 | 22 | |
| 62 | 26 | |
| 61 | 17 |
LoyaltyYears
Real number (ℝ)
MISSING ZEROS
| Distinct | 21 |
|---|---|
| Distinct (%) | 2.1% |
| Missing | 23 |
| Missing (%) | 2.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.117707 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 45 |
| Zeros (%) | 4.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 19 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.0658497 |
|---|---|
| Coefficient of variation (CV) | 0.59952809 |
| Kurtosis | -1.2179167 |
| Mean | 10.117707 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -0.039623757 |
| Sum | 9885 |
| Variance | 36.794532 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 16 | 59 | 5.9% |
| 14 | 56 | 5.6% |
| 12 | 55 | 5.5% |
| 8 | 53 | 5.3% |
| 3 | 52 | 5.2% |
| 18 | 50 | 5.0% |
| 9 | 48 | 4.8% |
| 10 | 48 | 4.8% |
| 1 | 48 | 4.8% |
| 20 | 47 | 4.7% |
| Other values (11) | 461 |
| Value | Count | Frequency (%) |
| 0 | 45 | |
| 1 | 48 | |
| 2 | 43 | |
| 3 | 52 | |
| 4 | 42 | |
| 5 | 46 | |
| 6 | 38 | |
| 7 | 44 | |
| 8 | 53 | |
| 9 | 48 |
| Value | Count | Frequency (%) |
| 20 | 47 | |
| 19 | 43 | |
| 18 | 50 | |
| 17 | 45 | |
| 16 | 59 | |
| 15 | 46 | |
| 14 | 56 | |
| 13 | 33 | |
| 12 | 55 | |
| 11 | 36 |
AccountBalance
Real number (ℝ)
MISSING
| Distinct | 966 |
|---|---|
| Distinct (%) | 99.3% |
| Missing | 27 |
| Missing (%) | 2.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50970.421 |
| Minimum | 1203 |
|---|---|
| Maximum | 99618 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1203 |
|---|---|
| 5-th percentile | 6346 |
| Q1 | 26613 |
| median | 50422 |
| Q3 | 76209 |
| 95-th percentile | 95015.6 |
| Maximum | 99618 |
| Range | 98415 |
| Interquartile range (IQR) | 49596 |
Descriptive statistics
| Standard deviation | 28218.405 |
|---|---|
| Coefficient of variation (CV) | 0.55362315 |
| Kurtosis | -1.1810301 |
| Mean | 50970.421 |
| Median Absolute Deviation (MAD) | 24354 |
| Skewness | 0.0088795456 |
| Sum | 49594220 |
| Variance | 7.9627838 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 44856 | 2 | 0.2% |
| 2881 | 2 | 0.2% |
| 28526 | 2 | 0.2% |
| 45386 | 2 | 0.2% |
| 48574 | 2 | 0.2% |
| 17999 | 2 | 0.2% |
| 81072 | 2 | 0.2% |
| 35812 | 1 | 0.1% |
| 94326 | 1 | 0.1% |
| 52493 | 1 | 0.1% |
| Other values (956) | 956 | |
| (Missing) | 27 | 2.7% |
| Value | Count | Frequency (%) |
| 1203 | 1 | |
| 1307 | 1 | |
| 1336 | 1 | |
| 1570 | 1 | |
| 1917 | 1 | |
| 2051 | 1 | |
| 2587 | 1 | |
| 2609 | 1 | |
| 2630 | 1 | |
| 2657 | 1 |
| Value | Count | Frequency (%) |
| 99618 | 1 | |
| 99614 | 1 | |
| 99530 | 1 | |
| 99371 | 1 | |
| 99300 | 1 | |
| 99262 | 1 | |
| 99239 | 1 | |
| 99132 | 1 | |
| 99046 | 1 | |
| 99000 | 1 |
ProductCount
Real number (ℝ)
MISSING
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 11 |
| Missing (%) | 1.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.512639 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 6 |
| Q3 | 8 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 2.8074316 |
|---|---|
| Coefficient of variation (CV) | 0.5092718 |
| Kurtosis | -1.183063 |
| Mean | 5.512639 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.0031103057 |
| Sum | 5452 |
| Variance | 7.8816721 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 6 | 116 | |
| 7 | 112 | |
| 4 | 109 | |
| 2 | 102 | |
| 3 | 101 | |
| 9 | 100 | |
| 10 | 92 | |
| 8 | 88 | |
| 1 | 85 | |
| 5 | 84 | |
| (Missing) | 11 | 1.1% |
| Value | Count | Frequency (%) |
| 1 | 85 | |
| 2 | 102 | |
| 3 | 101 | |
| 4 | 109 | |
| 5 | 84 | |
| 6 | 116 | |
| 7 | 112 | |
| 8 | 88 | |
| 9 | 100 | |
| 10 | 92 |
| Value | Count | Frequency (%) |
| 10 | 92 | |
| 9 | 100 | |
| 8 | 88 | |
| 7 | 112 | |
| 6 | 116 | |
| 5 | 84 | |
| 4 | 109 | |
| 3 | 101 | |
| 2 | 102 | |
| 1 | 85 |
HasCreditCard
Categorical
MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 18 |
| Missing (%) | 1.8% |
| Memory size | 7.9 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2946 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 516 | |
| 0.0 | 466 | |
| (Missing) | 18 | 1.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 516 | |
| 0.0 | 466 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1448 | |
| . | 982 | |
| 1 | 516 | 17.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2946 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1448 | |
| . | 982 | |
| 1 | 516 | 17.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2946 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1448 | |
| . | 982 | |
| 1 | 516 | 17.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2946 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1448 | |
| . | 982 | |
| 1 | 516 | 17.5% |
ActiveStatus
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 10 |
| Missing (%) | 1.0% |
| Memory size | 7.9 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2970 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 507 | |
| 1.0 | 483 | |
| (Missing) | 10 | 1.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 507 | |
| 1.0 | 483 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1497 | |
| . | 990 | |
| 1 | 483 | 16.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2970 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1497 | |
| . | 990 | |
| 1 | 483 | 16.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2970 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1497 | |
| . | 990 | |
| 1 | 483 | 16.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2970 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1497 | |
| . | 990 | |
| 1 | 483 | 16.3% |
IncomeEstimate
Real number (ℝ)
MISSING
| Distinct | 986 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 14 |
| Missing (%) | 1.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 111423.32 |
| Minimum | 20028 |
|---|---|
| Maximum | 199965 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 20028 |
|---|---|
| 5-th percentile | 29371.75 |
| Q1 | 67223.25 |
| median | 113468 |
| Q3 | 155986.5 |
| 95-th percentile | 189287.5 |
| Maximum | 199965 |
| Range | 179937 |
| Interquartile range (IQR) | 88763.25 |
Descriptive statistics
| Standard deviation | 51192.649 |
|---|---|
| Coefficient of variation (CV) | 0.45944286 |
| Kurtosis | -1.1700577 |
| Mean | 111423.32 |
| Median Absolute Deviation (MAD) | 44377.5 |
| Skewness | -0.071427738 |
| Sum | 1.098634 × 108 |
| Variance | 2.6206874 × 109 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 122511 | 1 | 0.1% |
| 139496 | 1 | 0.1% |
| 74703 | 1 | 0.1% |
| 114977 | 1 | 0.1% |
| 67819 | 1 | 0.1% |
| 179541 | 1 | 0.1% |
| 154917 | 1 | 0.1% |
| 130186 | 1 | 0.1% |
| 43290 | 1 | 0.1% |
| 132551 | 1 | 0.1% |
| Other values (976) | 976 | |
| (Missing) | 14 | 1.4% |
| Value | Count | Frequency (%) |
| 20028 | 1 | |
| 20294 | 1 | |
| 20368 | 1 | |
| 20453 | 1 | |
| 20595 | 1 | |
| 20727 | 1 | |
| 20767 | 1 | |
| 20834 | 1 | |
| 21214 | 1 | |
| 21468 | 1 |
| Value | Count | Frequency (%) |
| 199965 | 1 | |
| 199593 | 1 | |
| 199412 | 1 | |
| 199006 | 1 | |
| 198780 | 1 | |
| 198428 | 1 | |
| 198394 | 1 | |
| 198379 | 1 | |
| 198330 | 1 | |
| 198157 | 1 |
AnnualSpending
Real number (ℝ)
UNIQUE
| Distinct | 1000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50229.207 |
| Minimum | -19585.153 |
|---|---|
| Maximum | 113025.42 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 7 |
| Negative (%) | 0.7% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | -19585.153 |
|---|---|
| 5-th percentile | 13510.229 |
| Q1 | 34421.042 |
| median | 50574.839 |
| Q3 | 66943.877 |
| 95-th percentile | 86280.64 |
| Maximum | 113025.42 |
| Range | 132610.57 |
| Interquartile range (IQR) | 32522.835 |
Descriptive statistics
| Standard deviation | 22476.611 |
|---|---|
| Coefficient of variation (CV) | 0.44748091 |
| Kurtosis | -0.46303474 |
| Mean | 50229.207 |
| Median Absolute Deviation (MAD) | 16330.748 |
| Skewness | 0.01311881 |
| Sum | 50229207 |
| Variance | 5.0519804 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 57486.34231 | 1 | 0.1% |
| 51522.02452 | 1 | 0.1% |
| 34962.0039 | 1 | 0.1% |
| 35389.03897 | 1 | 0.1% |
| 62369.12627 | 1 | 0.1% |
| 44716.09718 | 1 | 0.1% |
| 81183.16517 | 1 | 0.1% |
| 40027.63228 | 1 | 0.1% |
| 71143.32184 | 1 | 0.1% |
| 18389.8171 | 1 | 0.1% |
| Other values (990) | 990 |
| Value | Count | Frequency (%) |
| -19585.15291 | 1 | |
| -4941.208309 | 1 | |
| -3461.743376 | 1 | |
| -2994.060408 | 1 | |
| -2608.622151 | 1 | |
| -2087.86471 | 1 | |
| -674.4777504 | 1 | |
| 592.1282066 | 1 | |
| 1217.742098 | 1 | |
| 1342.552228 | 1 |
| Value | Count | Frequency (%) |
| 113025.4215 | 1 | |
| 109221.0164 | 1 | |
| 109155.4414 | 1 | |
| 107626.5131 | 1 | |
| 107545.7933 | 1 | |
| 106196.4936 | 1 | |
| 105206.131 | 1 | |
| 102633.4915 | 1 | |
| 100493.8729 | 1 | |
| 100310.3679 | 1 |
HasComplaint
Categorical
MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 20 |
| Missing (%) | 2.0% |
| Memory size | 7.9 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2940 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 493 | |
| 1.0 | 487 | |
| (Missing) | 20 | 2.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 493 | |
| 1.0 | 487 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1473 | |
| . | 980 | |
| 1 | 487 | 16.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2940 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1473 | |
| . | 980 | |
| 1 | 487 | 16.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2940 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1473 | |
| . | 980 | |
| 1 | 487 | 16.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2940 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 1473 | |
| . | 980 | |
| 1 | 487 | 16.6% |
ComplaintSatisfaction
Real number (ℝ)
ZEROS
| Distinct | 11 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 10 |
| Missing (%) | 1.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.9505051 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 118 |
| Zeros (%) | 11.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 5 |
| Q3 | 8 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.2655593 |
|---|---|
| Coefficient of variation (CV) | 0.65964164 |
| Kurtosis | -1.2831705 |
| Mean | 4.9505051 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.019227708 |
| Sum | 4901 |
| Variance | 10.663877 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 118 | |
| 8 | 102 | |
| 9 | 93 | |
| 10 | 91 | |
| 2 | 89 | |
| 6 | 87 | |
| 3 | 86 | |
| 4 | 82 | |
| 7 | 81 | |
| 5 | 81 |
| Value | Count | Frequency (%) |
| 0 | 118 | |
| 1 | 80 | |
| 2 | 89 | |
| 3 | 86 | |
| 4 | 82 | |
| 5 | 81 | |
| 6 | 87 | |
| 7 | 81 | |
| 8 | 102 | |
| 9 | 93 |
| Value | Count | Frequency (%) |
| 10 | 91 | |
| 9 | 93 | |
| 8 | 102 | |
| 7 | 81 | |
| 6 | 87 | |
| 5 | 81 | |
| 4 | 82 | |
| 3 | 86 | |
| 2 | 89 | |
| 1 | 80 |
CardType
Categorical
MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 13 |
| Missing (%) | 1.3% |
| Memory size | 7.9 KiB |
| American Express | |
|---|---|
| Visa | |
| MasterCard | |
| Discover |
Length
| Max length | 16 |
|---|---|
| Median length | 10 |
| Mean length | 9.6008105 |
| Min length | 4 |
Characters and Unicode
| Total characters | 9476 |
|---|---|
| Distinct characters | 21 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | American Express |
|---|---|
| 2nd row | American Express |
| 3rd row | Discover |
| 4th row | Discover |
| 5th row | MasterCard |
Common Values
| Value | Count | Frequency (%) |
| American Express | 262 | |
| Visa | 250 | |
| MasterCard | 242 | |
| Discover | 233 | |
| (Missing) | 13 | 1.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| american | 262 | |
| express | 262 | |
| visa | 250 | |
| mastercard | 242 | |
| discover | 233 |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 1249 | |
| r | 1241 | |
| e | 999 | 10.5% |
| a | 996 | 10.5% |
| i | 745 | 7.9% |
| c | 495 | 5.2% |
| A | 262 | 2.8% |
| m | 262 | 2.8% |
| p | 262 | 2.8% |
| x | 262 | 2.8% |
| Other values (11) | 2703 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 9476 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| s | 1249 | |
| r | 1241 | |
| e | 999 | 10.5% |
| a | 996 | 10.5% |
| i | 745 | 7.9% |
| c | 495 | 5.2% |
| A | 262 | 2.8% |
| m | 262 | 2.8% |
| p | 262 | 2.8% |
| x | 262 | 2.8% |
| Other values (11) | 2703 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 9476 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| s | 1249 | |
| r | 1241 | |
| e | 999 | 10.5% |
| a | 996 | 10.5% |
| i | 745 | 7.9% |
| c | 495 | 5.2% |
| A | 262 | 2.8% |
| m | 262 | 2.8% |
| p | 262 | 2.8% |
| x | 262 | 2.8% |
| Other values (11) | 2703 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 9476 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| s | 1249 | |
| r | 1241 | |
| e | 999 | 10.5% |
| a | 996 | 10.5% |
| i | 745 | 7.9% |
| c | 495 | 5.2% |
| A | 262 | 2.8% |
| m | 262 | 2.8% |
| p | 262 | 2.8% |
| x | 262 | 2.8% |
| Other values (11) | 2703 |
CreditCardPoints
Real number (ℝ)
MISSING
| Distinct | 893 |
|---|---|
| Distinct (%) | 91.3% |
| Missing | 22 |
| Missing (%) | 2.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2447.364 |
| Minimum | 2 |
|---|---|
| Maximum | 4994 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 251.1 |
| Q1 | 1167.75 |
| median | 2395.5 |
| Q3 | 3679.75 |
| 95-th percentile | 4750.05 |
| Maximum | 4994 |
| Range | 4992 |
| Interquartile range (IQR) | 2512 |
Descriptive statistics
| Standard deviation | 1451.0669 |
|---|---|
| Coefficient of variation (CV) | 0.59291011 |
| Kurtosis | -1.1826114 |
| Mean | 2447.364 |
| Median Absolute Deviation (MAD) | 1261 |
| Skewness | 0.059271488 |
| Sum | 2393522 |
| Variance | 2105595 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 784 | 3 | 0.3% |
| 1914 | 3 | 0.3% |
| 761 | 3 | 0.3% |
| 3598 | 3 | 0.3% |
| 661 | 2 | 0.2% |
| 4062 | 2 | 0.2% |
| 1515 | 2 | 0.2% |
| 4570 | 2 | 0.2% |
| 4696 | 2 | 0.2% |
| 2428 | 2 | 0.2% |
| Other values (883) | 954 | |
| (Missing) | 22 | 2.2% |
| Value | Count | Frequency (%) |
| 2 | 1 | |
| 11 | 1 | |
| 23 | 1 | |
| 25 | 1 | |
| 26 | 1 | |
| 36 | 1 | |
| 39 | 1 | |
| 43 | 1 | |
| 51 | 2 | |
| 56 | 1 |
| Value | Count | Frequency (%) |
| 4994 | 1 | |
| 4984 | 1 | |
| 4971 | 1 | |
| 4970 | 1 | |
| 4969 | 1 | |
| 4960 | 1 | |
| 4952 | 1 | |
| 4944 | 1 | |
| 4923 | 1 | |
| 4916 | 2 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| RecordNumber | CustomerId | LastName | RiskScore | Location | Gender | Age | LoyaltyYears | AccountBalance | ProductCount | HasCreditCard | ActiveStatus | IncomeEstimate | AnnualSpending | HasComplaint | ComplaintSatisfaction | CardType | CreditCardPoints | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 1000 | Jennings | 51.0 | Indianapolis | Female | 36.0 | 10.0 | 33172.0 | 1.0 | 1.0 | 0.0 | 122511.0 | 57486.342314 | 0.0 | 10.0 | American Express | 4181.0 |
| 1 | 2 | 1001 | Gallagher | 92.0 | San Antonio | Female | 66.0 | 2.0 | 60197.0 | 8.0 | 0.0 | 1.0 | 113144.0 | 29617.169370 | 0.0 | 10.0 | American Express | 4858.0 |
| 2 | 3 | 1002 | Pham | 14.0 | Jacksonville | Female | 63.0 | 7.0 | 59847.0 | 4.0 | 0.0 | 0.0 | 84824.0 | 53352.944119 | 1.0 | NaN | NaN | 389.0 |
| 3 | 4 | 1003 | Henderson | 71.0 | Indianapolis | Female | 36.0 | 2.0 | 12577.0 | 5.0 | 0.0 | 1.0 | 43525.0 | 7072.432953 | 1.0 | 4.0 | Discover | 718.0 |
| 4 | 5 | 1004 | Lambert | 60.0 | Fort Worth | Male | 39.0 | 13.0 | 78299.0 | 8.0 | 1.0 | 0.0 | 77804.0 | 54096.227468 | 0.0 | 6.0 | Discover | 4244.0 |
| 5 | 6 | 1005 | Hill | 20.0 | Washington | Female | 41.0 | 12.0 | 21176.0 | 5.0 | 1.0 | 0.0 | 166115.0 | 71312.787807 | 0.0 | 2.0 | MasterCard | 4678.0 |
| 6 | 7 | 1006 | Simpson | 82.0 | Houston | Female | 62.0 | 12.0 | 45386.0 | 10.0 | 0.0 | 1.0 | 61846.0 | 20237.629144 | 1.0 | 8.0 | Discover | 120.0 |
| 7 | 8 | 1007 | Rodriguez | 86.0 | San Jose | Male | 29.0 | 1.0 | 64972.0 | 4.0 | 0.0 | 0.0 | 97261.0 | 55154.149524 | 0.0 | 7.0 | American Express | 2652.0 |
| 8 | 9 | 1008 | Alexander | 74.0 | Chicago | Male | 47.0 | 12.0 | 90791.0 | 6.0 | 1.0 | 1.0 | 188455.0 | 86032.367591 | 0.0 | 2.0 | Discover | 2303.0 |
| 9 | 10 | 1009 | Roman | 74.0 | Dallas | Male | 55.0 | 18.0 | 42003.0 | 5.0 | 1.0 | 0.0 | 49483.0 | 592.128207 | 1.0 | 4.0 | Visa | 4861.0 |
| RecordNumber | CustomerId | LastName | RiskScore | Location | Gender | Age | LoyaltyYears | AccountBalance | ProductCount | HasCreditCard | ActiveStatus | IncomeEstimate | AnnualSpending | HasComplaint | ComplaintSatisfaction | CardType | CreditCardPoints | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 990 | 991 | 1990 | Jones | 17.0 | Seattle | Female | 57.0 | 16.0 | 33006.0 | 1.0 | 0.0 | 1.0 | 65591.0 | 25514.224885 | 0.0 | 2.0 | American Express | 3909.0 |
| 991 | 992 | 1991 | Soto | 37.0 | San Antonio | Female | 40.0 | 8.0 | 32422.0 | 8.0 | 0.0 | 1.0 | 81750.0 | 41239.174554 | 1.0 | 0.0 | American Express | 4801.0 |
| 992 | 993 | 1992 | Gutierrez | 98.0 | Charlotte | Female | 26.0 | 1.0 | 13205.0 | 7.0 | 1.0 | 1.0 | 110648.0 | 26972.731100 | 0.0 | 7.0 | Visa | 1164.0 |
| 993 | 994 | 1993 | Boyd | 14.0 | Austin | Female | 51.0 | 14.0 | 87590.0 | 3.0 | NaN | 0.0 | 116134.0 | 61069.427102 | 1.0 | 5.0 | MasterCard | 619.0 |
| 994 | 995 | 1994 | Harper | 63.0 | Seattle | Female | 63.0 | 15.0 | 24527.0 | 6.0 | 1.0 | 1.0 | 186526.0 | 68421.965687 | 0.0 | 1.0 | American Express | 3066.0 |
| 995 | 996 | 1995 | Adams | 88.0 | Jacksonville | Female | 31.0 | 3.0 | 19443.0 | 9.0 | 1.0 | 1.0 | 118537.0 | 40494.281339 | 0.0 | 7.0 | Visa | 4872.0 |
| 996 | 997 | 1996 | Smith | 100.0 | Philadelphia | Female | 21.0 | 7.0 | 17524.0 | 7.0 | 0.0 | 1.0 | 82672.0 | 19895.817965 | 0.0 | 5.0 | MasterCard | 446.0 |
| 997 | 998 | 1997 | Diaz | 27.0 | Washington | Male | 47.0 | NaN | 29202.0 | 3.0 | 1.0 | 0.0 | 47228.0 | 19413.240538 | 0.0 | 6.0 | American Express | 2337.0 |
| 998 | 999 | 1998 | Peterson | 73.0 | Fort Worth | Male | 48.0 | 4.0 | 66552.0 | 6.0 | 1.0 | 1.0 | 34429.0 | 40553.955303 | 0.0 | 10.0 | American Express | 208.0 |
| 999 | 1000 | 1999 | Horton | 38.0 | Washington | Female | 55.0 | 15.0 | 47142.0 | 4.0 | 0.0 | 1.0 | 104294.0 | 51282.513165 | 0.0 | 0.0 | American Express | 2460.0 |